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Python source code accompanying the manuscript Evaluating Incremental Physiological Prediction Beyond Protocol Context in Experimental Heat Pain. The code reconstructs matched heat-stimulus pairs from…

Python source code accompanying the manuscript Evaluating Incremental Physiological Prediction Beyond Protocol Context in Experimental Heat Pain. The code reconstructs matched heat-stimulus pairs from PainMonit, extracts physiological features, and evaluates their contribution beyond protocol and trial history using participant-grouped validation. The archive includes the analysis scripts, dependency files, tests, and the script for Figure 2. The archive contains software only. Running the analysis requires authorized access to the PainMonit Experimental Dataset (PMED). The README lists the inputs and commands for reconstructing the intermediate files and running the analyses.

What's new in 2.0.1 Diagram PDF export. Diagrams always export as vector PDF. The PDF embeds only the glyphs it uses. Text in the PDF can be copied and searched. System fonts in PDFs. SaiLoR asks bef…

What's new in 2.0.1 Diagram PDF export. Diagrams always export as vector PDF. The PDF embeds only the glyphs it uses. Text in the PDF can be copied and searched. System fonts in PDFs. SaiLoR asks before it embeds a system font in a diagram PDF. SVG is the alternative. Graph query box. The box grows with your input. It offers completions, shows a language badge and shows live Cypher errors. Cypher completion includes property names. A ? button opens a help dialog with examples. Settings. Improved Settings dialog. Downloads System File macOS 15 or later, Apple Silicon SaiLoR_2.0.1_aarch64.dmg macOS 15 or later, Intel SaiLoR_2.0.1_x64.dmg Windows, 64 bit SaiLoR_2.0.1_x64-setup.exe Linux, any distribution, Intel/AMD SaiLoR_2.0.1_amd64.AppImage Linux, any distribution, ARM SaiLoR_2.0.1_aarch64.AppImage Debian and Ubuntu, Intel/AMD SaiLoR_2.0.1_amd64.deb Debian and Ubuntu, ARM SaiLoR_2.0.1_arm64.deb Fedora, RHEL and openSUSE, Intel/AMD SaiLoR-2.0.1-1.x86_64.rpm Fedora, RHEL and openSUSE, ARM SaiLoR-2.0.1-1.aarch64.rpm Ignore the other files. The in-app updater uses the .sig files, latest.json and the .app.tar.gz files. SHA256SUMS.txt lists checksums. The sbom-*.cdx.json files list dependencies. The macOS, Windows and AppImage builds update in the app. The .deb and .rpm packages do not. Installers are not code signed. macOS shows a Gatekeeper prompt. Windows shows a SmartScreen warning. Upgrading from 1.x Install 2.x by hand. The 1.x app does not update to 2.x. Project files open as before. AI settings and local models move to a hidden ~/.sailor folder on first start. Recent projects, UI settings and window size reset. You must enter AI API keys again.

Il libro considera la cultura storico letteraria a Venezia nell’Ottocento sullo sfondo della tensione fra l’eredità ottocentesca della Repubblica di San Marco, la modernizzazione de…

Il libro considera la cultura storico letteraria a Venezia nell’Ottocento sullo sfondo della tensione fra l’eredità ottocentesca della Repubblica di San Marco, la modernizzazione della città durante il dominio austriaco e il successivo inserimento nel Regno d’Italia. Attraverso l’analisi di figure centrali, come, tra altri, Giustina Renier Michiel, Luigi Carrer, Emilio De Tipaldo, Francesco Dall’Ongaro, Erminia Fuà Fusinato, Amalia Pincherle Rosselli, Luigia Codemo, Ippolito Nievo, Alvise Piero Zorzi, il volume affronta il dibattito culturale e politico che ha caratterizzato il secolo, incluse le dispute sulla conservazione del patrimonio architettonico, la questione della modernità e il ruolo della letteratura e del teatro nel definire l’identità veneziana. Particolare attenzione è dedicata alla produzione drammaturgica di autori come Giacinto Gallina e Francesco Dall’Ongaro, alla saggistica e al giornalismo di figure come Niccolò Tommaseo e Luigia Codemo, alle imprese editoriali di Emilio De Tipaldo e Luigi Carrer. Autrici e autori sono considerati all’interno delle reti intellettuali venete e nazionali, delle istituzioni culturali e dei processi storici che accompagnano la formazione dell’Italia moderna. Lo studio integra testimonianze di viaggiatori stranieri, documenti d’archivio, analisi di opere letterarie e riflessioni critiche sulla memoria urbana, offrendo una ricostruzione complessa di una città che negoziava costantemente fra tradizione e innovazione, senza mai risolvere questa tensione in una narrazione lineare di declino o progresso.La domanda posta all’inizio del volume – Venezia nell’Ottocento. Viva a sua insaputa? – attraversa dunque idealmente tutte le pagine di questo libro: la risposta che emerge dai diversi saggi è quella di una città che continua a vivere proprio grazie alla sua capacità di reinterpretare continuamente il proprio passato e di farne uno strumento di dialogo con la modernità.

El presente trabajo busca proponer una nueva definición que vaya más allá de las limitaciones impuestas por concepciones tradicionales, mediante un examen crítico de las pe…

El presente trabajo busca proponer una nueva definición que vaya más allá de las limitaciones impuestas por concepciones tradicionales, mediante un examen crítico de las perspectivas ecofeministas y queer sobre la naturaleza. Se cuestionan las categorizaciones de sexo y género, así como las jerarquías históricas que han separado a los humanos del resto de la naturaleza, utilizando las contribuciones de Val Plumwood y Monique Wittig. La propuesta de definición describe la naturaleza como un espacio dinámico en el que se originan y desarrollan todos los procesos vitales, reconociendo la importancia de eliminar las divisiones opresivas y promoviendo una visión inclusiva y diversa del mundo natural. 

We provide four model files. The file raw_output_Vp.txt contains the uninterpolated three-dimensional tomographic results obtained using SIMUL23 (Eberhart-Phillips et al., 2024), with a strongly dampe…

We provide four model files. The file raw_output_Vp.txt contains the uninterpolated three-dimensional tomographic results obtained using SIMUL23 (Eberhart-Phillips et al., 2024), with a strongly damped Vp/Vs parameter to effectively restrict the inversion to Vp. The file raw_output_VpoverVs.txt contains the corresponding uninterpolated results from a simultaneous inversion of  Vp and Vp/Vs using the same algorithm. The files Vp_interpolated.txt and VpoverVs_interpolated.txt contain the interpolated Vp and Vp/Vs models, respectively. All four files include descriptive headers. The study region spans from 18.5–23.5°S in latitude and 67.0–71.0°W in longitude. Events are chosen with focal depths less than 165 km. This depth range was chosen to investigate the velocity structure of the subducting slab and overlying mantle wedge, particularly in relation to intermediate-depth seismicity. Only events with at least 20 P-wave and 10 S-wave arrival-time picks were retained for further analysis.

This file supplies the experimental data displayed and analysed in figures 4 to 6 of the article "At-wavelength determination of thermo-optical coefficients of water isotopes for liquid face-cooling o…

This file supplies the experimental data displayed and analysed in figures 4 to 6 of the article "At-wavelength determination of thermo-optical coefficients of water isotopes for liquid face-cooling of 1 μm laser amplifiers" Ce fichier fournit les données expérimentales présentées et analysées en figures 4 à 6 de l'article "Détermination à la longueur d'onde des coefficients thermo-optiques d'isotopes de l'eau pour le refroidissement facial d'amplificateurs laser à 1 μm".

We study quantum federated learning with variational quantum classifiers under finite-shot measurements, heterogeneous clients, multiple local updates, and partial participation. Finite-shot parameter…

We study quantum federated learning with variational quantum classifiers under finite-shot measurements, heterogeneous clients, multiple local updates, and partial participation. Finite-shot parameter-shift gradients are evaluated along recursively evolving proximal client trajectories, so their effect cannot be represented by simply adding an $O(1/S)$ variance term to a standard proximal federated bound. We therefore analyze the trajectory-dependent discrepancy between the actual federated update and an ideal global-gradient step. At the circuit level, we establish unbiasedness of the parameter-shift estimator, coordinatewise variance $O(1/S)$, and gradient mean-squared error $O(d_q/S)$. At the optimization level, we establish first-order stationarity guarantees for smooth nonconvex objectives with time-varying learning rates and proximal coefficients, without a Polyak--{\L}ojasiewicz condition. The analysis identifies two finite-shot effects: a direct stochastic-gradient residual and an indirect trajectory-mediated residual. It also shows that heterogeneity does not create an independent common-iterate $O(\zeta^2)$ error; instead, it acts through subsequent client drift. For uniform sampling without replacement, we derive an additional correction proportional to $(K-m)/(m(K-1))$ and terminal drift energy, which vanishes under full participation. Experiments confirm near-inverse-shot estimator scaling and illustrate the resulting drift and stationarity behavior.

Novosibirskiyda Kaliforniya qurtlari tomonidan ishlab chiqarilgan suyuq vermikompostdan ajratilgan Bacillus turingiensis.ssp dakota, Bacillus subtilis 110 Bacillus turingiensis.ssp dakota, Bacillus tu…

Novosibirskiyda Kaliforniya qurtlari tomonidan ishlab chiqarilgan suyuq vermikompostdan ajratilgan Bacillus turingiensis.ssp dakota, Bacillus subtilis 110 Bacillus turingiensis.ssp dakota, Bacillus turingiensis.ssp diawai va N6 izolyat bakteriyalarining LB oziqasida pHi 7,2-7,4 bo‘lgan NaClning turli konsentratsiyalariga (0%, 1%, 5%, 7.5%, 10%,12.5% ) faolligini o‘rganish va LB oziqasi pH 7,2-7,4 bo‘lgan 3 kun 280 C da o‘stirilgan bakteriyalarni loviya o‘simligi urug‘iga inokulatsiya qilish natijasida o‘simlikning vegetativ organlariga ta’sir qilish natijalari taqdim etildi. 

This archive contains R scripts and processed data used to perform the statistical analyses and simulations presented in the manuscript entitled "Warming-induced sex bias fuels deceptive conservation …

This archive contains R scripts and processed data used to perform the statistical analyses and simulations presented in the manuscript entitled "Warming-induced sex bias fuels deceptive conservation success in sea turtles"

This document covers the history, science, and user guide for GnG1 Models, version 3.0, a Windows program that fits generalized compartmental models to two kinds of data from ruminant nutrition experi…

This document covers the history, science, and user guide for GnG1 Models, version 3.0, a Windows program that fits generalized compartmental models to two kinds of data from ruminant nutrition experiments: the residue of fiber left after increasing times of incubation, in vitro or in situ, which gives the fractional rate of digestion (kd), and the concentration of a marker in the feces after a single dose, which gives the fractional rate of passage (kp). In its central model, GnG1, fiber passes through a chain of n age-dependent stages before reaching a stage it leaves at a constant fractional rate. Instead of fitting a single model, GnG1 Models fits nine models to each digestion profile, from the exponential, the exponential with a discrete lag, and the logistic to GnG1 of orders one to six, and eight models to each passage profile: GnG1 of orders one to six, the two-compartment model of Grovum and Williams, and the multicompartment model of Dhanoa. It then selects the best-fitting model for each profile by AIC, BIC, or SSE, and derives from the selected curve the potentially digestible and indigestible fractions, the lag or mean delay, the effective digestibility, and the equivalent first-order kd, or the transit time, the mean retention times, and the ruminal kp. The modeling is done in R, behind a graphical interface for users unfamiliar with R, and each run writes a report and a page documenting how each result is computed. The first chapter traces the model from the age-dependent compartments of Blaxter, Matis, and Pond to the companion papers of 2007 and the papers of 2008 in the Journal of Theoretical Biology by Vieira, Tedeschi, and Cannas. It continues through the 2008 R scripts, the 2009 Windows program and its versions through 2025, and ends with GnG1 Models 3, rewritten in 2026. The second chapter summarizes the science: the data; the models of digestion; GnG1 as an age-dependent model of digestion; effective digestibility; the models of passage; retention times and the rate of passage; fitting and choosing the model; digestion and passage together; and a worked example. The third chapter revisits the first evaluation of the models, on 199 in vitro NDF degradation profiles and on the mass of NDF in the ruminoreticulum of cattle and sheep. The fourth is a user guide to the main window, the dataset and the parameter file, the options, running, the results, projects, and the menus. The fifth works through the sample datasets: a passage run, a digestion run, and a digestion run that takes its rate of passage from the passage run.